The application relates to the technical field of workshop early warning management, and specifically discloses a
vaccination workshop environment
microorganism concentration intelligent
early warning system, which realizes real-time collection of environment parameter data of a
vaccination workshop through an environment sensor network, extracts
microorganism concentration key driving factors, and obtains key driving factor data; a causal network for
microorganism concentration prediction is constructed based on the key driving factor data, and a causal
network model is obtained; the environment parameter
data set is subjected to microorganism concentration growth slope calculation according to the causal
network model, then a regulation and intervention strategy is generated based on a counterfactual
reasoning algorithm and
intervention effect simulation is carried out, so that an optimal regulation and control scheme is output; the intelligent level and response precision of microorganism
pollution prevention and control are greatly improved, the adaptability of the
system to a complex dynamic environment is enhanced, energy waste or
system disturbance caused by excessive intervention is avoided, and the workshop
automation management level is improved.